Keys to Economic Recovery from COVID-19
Transcript of Keys to Economic Recovery from COVID-19
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Testing the Keys to Economic Recovery from COVID-19
Webinar 4: Making Data-Informed Decisions for Economic Recovery
January 27, 2021
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The Team
Mark Little, Director, NCGrowth Anita Brown-Graham,
Director, ncIMPACT Initiative
Carolyn Fryberger, NCGrowth Emily Gangi,
ncIMPACT Initiative
Molly Gaskin, ncIMPACT Initiative
Hallee Haygood, NCGrowth
Andreina Malki, Geography PhD Candidate
Jason Jones, ncIMPACT Initiative
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Project Description and Purpose
What strategies will help local economies recover more quickly from the COVID-19 pandemic?
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Data Resources for Economic Recovery
Jeff Warren, PhD - ModeratorExecutive Director
NC Policy CollaboratoryUniversity of North Carolina at Chapel Hill
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Community Confidence Tool
Tommy BohrmannChief Scientific Officer
Digital Health Institute for Transformation
https://dashboard.communityconfidence.org/
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Carolina TrackerA Resource For Recovery
Noreen McDonaldDistinguished Professor, Chair
Department of City and Regional PlanningUniversity of North Carolina at Chapel Hill
https://carolinatracker.unc.edu/
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CAROLINA TRACKERA Resource for Recovery
PurposeConstruct an interactive dashboard that explores the economic, travel, social, and environmental impacts of COVID-19 on communities throughout North Carolina
This project is supported by the North Carolina Policy Collaboratory at the University of North Carolina at Chapel Hill,
with funding from the North Carolina Coronavirus Relief Fund established and appropriated by the North Carolina General Assembly.
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ABOUT THE PROJECT
Principal Investigators – City and Regional Planning
Post-Doctoral Fellows Abigail CochranDonald Planey
Olivia Wang
ConsultantsKaitlin HeatwoleCarson Sievert
Ashton WatkinsBen White
Graduate Students Kshitiz Khanal (PhD)
Xijing Li (PhD)Ethan Sleeman (MCRP)
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GOALS
1Visualize and explore impacts of COVID-19
in North Carolina
2Provide timely and
relevant information for decision-making
3Demonstrate the
variation of impacts on different groups
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GOAL 1: Visualize and explore impacts of COVID-19Employment• Unemployment insurance claims• Mass layoffs/closures• Labor force participation• Online job listings
Spending• Sales and use tax revenue• Small businesses open• Small business revenue• Office vacancy rates• Paycheck Protection Program loans
Travel• Percent of people staying at home• Vehicle miles traveled• Median distance of longest daily trip• Traffic crashes• Gas prices
Destinations• Business offices• Grocery stores• Healthcare• Parks• Restaurants and bars• Recreational facilities
Housing• Eviction filings• Foreclosure filings• House sales • Rental listings• New building permits• Vacant residences
Environment & Society• Childcare enrollment• Air Quality Index (PM 2.5)• Police stops• Prison admissions
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• Influence day-to-day operational decisions and long-term strategies
• Provide data as it is available in daily, weekly, and monthly updates
• Create automated code (mostly in R) to facilitate this process
GOAL 2: Provide timely and relevant information
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• Provide data-driven storytelling and analysis
• Analyze disaggregated breakdowns of datasets
• Use summarizing categories to explore broad spatial and socio-economic trends
GOAL 3: Demonstrate the variation of impacts
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FEATURES
• 30 topics to explore in 6 categorical dropdown menus
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FEATURES
• Slider bar on time series changes the date of data display
• Automatically updates the map, dot plot, and overview text
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FEATURES
• Default display shows each county and the state average
• Hover to see details • Click to highlight
county (or counties) on all graphics
• Easily clear selection in top right
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FEATURES
• Group counties by socioeconomic and geographic categories to see trends
• Each county’s category group is color-coded on the map and dot plot
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FEATURES
• About page provides more information about each topic
• Original data sources • Links to download our
clean and ready-to-use data
• Methodology and calculations
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ncIMPACT COVID Composite
Jason JonesResearch Associate, ncIMPACT Initiative
School of Government University of North Carolina at Chapel Hill
https://ncimpact.shinyapps.io/covid-composite/
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ncIMPACT COVID Composite
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Built In Three Layers
The three layers of our tool are rooted in real conversations and webinar engagements with local elected officials and practitioners to reflect their concerns and approaches to mitigating pandemic impacts. These three layers help us to:
1. Develop an understanding of a community’s resilience* and disposition towards widening inequity using publicly available Census data at the Census Tract level.
2. Develop an understanding, where data is available, of the emergency financial support resources received which may be masking short-term consequences and delaying second-order impacts of the pandemic at the county level.
3. Develop an understanding of real-time fluctuations in a selection of publicly available data points at the county level as the pandemic unfolds.
*Community Resilience in this context is specific to potential community impact due to the pandemic and not community resilience more broadly.
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Features
• You can get a quick look at a selection of data points related to COVID economic impact and recovery.
• You have access to a variety of visualization formats depending on your preferences including data cards, charts, and maps.
• All data points are already standardized to allow for comparisons.
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Features
• Most significantly, you may choose your county and select your own data points to construct your own composite.
• Data standardization goes a step further with the use of a z-score that makes comparisons simple and helps you visualize how far a data point is away from the average for all data points.
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Guidance
• Our z-scores are all documented and standardized to ease interpretation. A higher z-score is interpreted as less desirable and a lower z-score is interpreted as more desirable, regardless of the underlying data point.
• All source code, data, and documentation are freely available in a GitHub repositorywith more detailed documentation provided in a stand-alone documentation site.
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Information to Action
Information to Action Framework provides an easy-to-understand way of moving toward meaningful community and organizational action.
COVID Composite is a great way to plug in and get started with some quantitative insights.
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Enhancements
Stay tuned for more accessibility and usability enhancements!
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Making Data-Informed Decisions For Economic Recovery
Obed Pasha, PhDAssistant Professor
School of GovernmentUniversity of North Carolina at Chapel Hill
[email protected] Focus: Organizational behavior, Strategic Planning,
Performance Management, Program Evaluation
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Decision-making cycle
Desired Economic State
Convert Raw Data into
Information
Analyze how far are we from the desired state?
Make decisions based on the state
of recovery
Gather Data on Recovery
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Analysis
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PAST PERFORMANCE
TARGETS BENCHMARKING
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Analysis: Past
Performance
Compare performance measures with past performance• Trends
• How have we been doing over the past few years/months/weeks etc.?
• Example: Percent stay at home
• Example: Rate of eviction filings
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Example: Percent Stay At Home
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Example: Eviction Filings
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Example: Infection Rates
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Analysis: Goals And
Targets
Compare recovery with set goals• Mandated by legislature, budgeting
guidelines, industry standards, internal process
• Did we meet the mandated expectations?
• Example: Confidence score
• Example: Capacity, behavior, economic indices
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Example: Confidence Indices
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Example: Confidence Score
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Analysis:Benchmarking
Compare economic recovery with other comparable entities• Understand our place in the region
• How well are we doing compared to our peers?
• Example: Compare COVID-19 trends in Pender with Onslow County
• Example: Compare Crime per 100k in Asheville with
➢ Hendersonville (because of geographic proximity)
➢ Gastonia (because of similar size and crime rate)
➢ Apex (because of low crime rates)
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Example: Unemployment COVID Composite Tool
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UNEMPLOYMENT POVERTY
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Example: Unemployment COVID Composite Tool
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UNEMPLOYMENT POVERTY
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Example: Poverty RateCOVID Composite Tool
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Analysis
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PAST PERFORMANCE
TARGETS BENCHMARKING
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Decision-making cycle
Desired Economic State
Convert Raw Data into
Information
Analyze how far are we from the desired state?
Make decisions based on the state
of recovery
Gather Data on Recovery
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Decisionmaking
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Making strategic decisions based on the analysis
Going back to the strategic plan to figure out what worked
What strategic alternatives should be strengthened or discontinued
What can we do differently to get better results?
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Poll
Which comparison methodologies are used in your organization?• Past performance• Set targets• Peers
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Selected References
•Ammons, D. (2020). Performance Measurement for Managing Local Government.
•Behn, R. D. (2003). Why measure performance? Different purposes require different measures. Public administration review, 63(5), 586-606.
•Moynihan, D. P. (2008). The dynamics of performance management: Constructing information and reform. Georgetown University Press.
• Pasha, O., Kroll, A., & Ash, M. (2018, July). Assessing Police Performance Systems: The Impact of CompStat on Crime. In Academy of Management Proceedings (Vol. 2018, No. 1, p. 15169). Briarcliff Manor, NY 10510: Academy of Management.
• Poister, T. H. (2016). Measuring performance in public and nonprofit organizations. John Wiley & Sons.
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What everyone should know from the Fall Survey of Local Governments
Anita Brown-GrahamDirector, ncIMPACT Initiative
Professor of Public Law and GovernmentSchool of Government
University of North Carolina at Chapel Hill
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Survey Coverage
• Fall survey covered 98 out of 100 counties with either a county or municipal government response. 67 percent of responses came from municipal government while 33 percent came from county government.
• We collected responses from 70 county governments (70 percent) and 172 municipal governments (31 percent).
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Negative Community Impacts
From our spring survey to our fall survey, for top three negative community impacts, the percentage of respondents citing:
1. Employment Instability decreased by 16 percentage points
2. Housing Instability increased by 13 percentage points
3. Food Insecurity decreased by 13 percentage points
4. Travel Restrictions decreased by 10 percentage points
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Negative Local Government Impacts
From our spring survey to our fall survey, for top three negative local government impacts, the percentage of respondents citing:
1. Reduced Revenue decreased by 39 percentage points
2. Staffing Absences Due to COVID-19 Exposure or Potential Exposure increased by 37 percentage points
3. Staff Burnout Due to the COVID-19 Pandemic increased by 23 percentage points
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Positive Impact Themes
• Community Unity
• Tourism and Occupied Rental Properties
• Service Transitions and Changes to Operations That May Be Long-lasting
• Societal Shifts such as Recognition of Underlying Issues Like Broadband Access
• Benefits Of Remote Work
• Changes to Service Delivery
• Hard Work and Resilience
• Improved Revenues
• Opportunity for Change
• Improvements to Emergency Preparedness
Community Local Government
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Poll
Of the positive community impacts, which resonates most with your experience?•Community Unity
•Tourism and Occupied Rental Properties
•Service Transitions and Changes to Operations That May Be Long-lasting
•Societal Shifts such as Recognition of Underlying Issues Like Broadband Access
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Optimism – Expected Impact on Local Economy by Region
For impact on local economy, local workforce, and local government revenue, respondents appear much more optimistic about potential impacts over next 90 days.
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Optimism – Expected Impact on Local Employment by Region
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Optimism – Expected Impact on Average Local Government Revenue
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Next Steps
30-minute Post-Session Q&A with all presenters
Webinar Evaluation Survey – only 5 questionsLink in chat box & by email
Visit project page for updates: go.unc.edu/KeystoRecoveryCase studies, Data Analysis, Resources, and more
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Stay Connected
Email: [email protected]
Twitter: @ncIMPACTsog and @NCGrowth
Facebook: NCImpact Initiative and NCGrowth